I am a Professor in the AI institute of Beihang University. Before that, I was a research associate advised by Prof. Thomas Lukasiewicz in the Intelligent System Lab, University of Oxford. Previously, I was an NLP research scientist in Apple. While at Apple, I am responsible for Siri’s module, such as domain classification and chit-chat dialogue. Before that, in 2018, I obtained my PhD degree and graduated from Peking University, China, where I worked with Prof. Zhifang Sui, Prof. Baobao Chang, and Prof. Sujian Li. I also served as a research assistant in Microsoft Research Asia, working with Chin-yew Lin, Lintao Zhang, and Qi Chen. During my PhD period, I majored in information extraction and text generation. I have published many first-author papers in top conferences of NLP, such as ACL, EMNLP, NAACL, AAAI, etc. My research interest focus on natural language understanding, controllable text generation, and interpretable deep NLP models.

• [1]. 2013.9 -- 2018.7

  北京大学       计算机科学与技术       博士研究生毕业       理学博士学位

• [1]. 2020.3 -- 2022.3

  牛津大学      计算机系      副研究员

• [2]. 2018.8 -- 2020.4

  Apple Inc      Siri NL      NLP Research Scientist

• [1] 可解释自然语言处理模型：本人的研究工作着眼于如何使得深度模型“白盒化”，即令人类可以完全了解深度模型内部的运行机制，从而可以使得模型的运行更加的健壮，结果更加可控。根据真实的任务对于可解释性的要求，“可解释性”可分为以下几个级别。1) 启发式可解释结构，2) 可理解的可解释结构, 3) 可控制的可解释结构, 4) 可迁移的可解释结构, 5) 可推理的可解释结构。这五个层次对于数据的利用能力以及掌控能力逐层递进。

• [1] 邮箱 : 55cf4fe742ba1558210dd2092e3deb412fb3013663960a25d0eb2f49192dd673934667c298885016281c526132cb0752fc3ebe7bbee6f71a297e69b7d1df261137ccbb2c6789534309ff36503d56771e963eb57c7b180d2e077dc79bcb963d2d1cf89355161f31c51ab8add4072bdb0eec7575d1d5ac02efae3b8986bb162dd0